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2020 – today
- 2024
[c8]Salma Emara, Daniel Liu, Fei Wang, Baochun Li:
Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. INFOCOM (Workshops) 2024: 1-6- 2023
- [j3]Daniel Liu
, Martin Steinegger:
Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matrices. Bioinform. 39(8) (2023) - 2022
- [j2]Lori Wong, Daniel Liu, Cori Thompson, Todd Margo, Feliciano Yu:
Comment on Dr. Chung's Editorial: Pediatric Health Information Technology - What We Need for Optimal Care of Children. Appl. Clin. Inform. 13(1): 53-55 (2022) - [c7]Daniel Liu, Shengfan Zhang, Maryam Alimohammadi, Feliciani Yu Jr.:
Evaluating a Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings. AMIA 2022 - [c6]Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski:
Mint: An Accelerator For Mining Temporal Motifs. MICRO 2022: 1270-1287 - [i7]Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang:
Knowledge distillation for fast and accurate DNA sequence correction. CoRR abs/2211.09862 (2022) - 2020
- [c5]Daniel Liu, Ronald Yu, Hao Su:
Adversarial Shape Perturbations on 3D Point Clouds. ECCV Workshops (1) 2020: 88-104 - [i6]Nick Angelou, Ayoub Benaissa, Bogdan Cebere, William Clark, Adam James Hall, Michael A. Hoeh, Daniel Liu, Pavlos Papadopoulos, Robin Roehm, Robert Sandmann, Phillipp Schoppmann, Tom Titcombe:
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. CoRR abs/2011.09350 (2020)
2010 – 2019
- 2019
- [j1]Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta:
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets. Proc. VLDB Endow. 12(12): 1938-1941 (2019) - [c4]Daniel Liu, Ronald Yu, Hao Su:
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. ICIP 2019: 2279-2283 - [c3]Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng:
System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. BigMine@KDD 2019 - [c2]Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta:
Verifying Text Summaries of Relational Data Sets. SIGMOD Conference 2019: 299-316 - [i5]Daniel Liu, Ronald Yu, Hao Su:
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. CoRR abs/1901.03006 (2019) - [i4]Daniel Liu, Ronald Yu, Hao Su:
Adversarial point perturbations on 3D objects. CoRR abs/1908.06062 (2019) - [i3]Daniel Liu:
Approximate string searching with fast fourier transforms and simplexes. PeerJ Prepr. 7: e27615 (2019) - 2018
- [i2]Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta:
The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR abs/1804.07686 (2018) - 2017
- [i1]Daniel Liu, Lvette Lopez:
A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet. CoRR abs/1706.08177 (2017) - 2015
- [c1]Jianqiang Shen, Burkay Orten, Sahin Cem Geyik, Daniel Liu, Shahriar Shariat, Fang Bian, Ali Dasdan:
From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding. ICDM 2015: 973-978
Coauthor Index
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